Introduction to Machine Learning

This session provides a comprehensive introduction to the world of machine learning. We'll cover:

- What machine learning is and how it differs from traditional programming
- Types of machine learning: supervised, unsupervised, and reinforcement learning
- Common applications and real-world examples
- Key terminology and concepts that form the foundation of ML
- How to think about problems from an ML perspective
- Getting started with your first ML project

This is the perfect starting point for anyone new to machine learning, with no prior knowledge required.